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SKU110K-benchmark

Evaluation code for SKU110K dataset. Forked from cocoapi repository.

Steps

  • Place the annotations_test.csv inside groundtruth folder. Data can be obtained from here [1].
  • Place your predictions.csv inside predictions folder.
  • Run calc_acc.py inside cocoapi/PythonAPI/pycocotools after modifying the predictions file path.

Results

Method AP AP.75 AR300
Goldman et al [2] 0.492 0.556 0.554
Our method [3] 0.685 0.755 0.756

Note

The outputs from [3] can be downloaded from this link

References

[1] https://github.com/eg4000/SKU110K_CVPR19
[2] https://arxiv.org/abs/1904.00853
[3] Will be released soon

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evaluation code for SKU110K dataset

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  • Python 72.4%
  • C++ 15.2%
  • C 12.2%
  • Makefile 0.2%